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Staff Product Manager, AI Applications

Project Management Full-time Permanent United States

Job details

$200K – $268K • Offers Equity • Offers Bonus Salary
United States Eligibility
Staff Experience
Full-time Employment

About this role

Role overview

Set the direction for a portfolio of AI applications that bring voice technology directly to consumers and knowledge workers. You’ll own product strategy, roadmap decisions, and the commercial model, guiding an established team and early products toward a sustainable, profitable business. The role calls for hands-on product leadership, with room to shape both what gets built and how the business grows.

Responsibilities

- Define which applications to build, who they serve, how they stand out, and how they generate revenue; support the strategy with evidence and communicate it to executives. - Own the roadmap, prioritize releases, and make product and delivery tradeoffs as the portfolio expands. - Build the business across acquisition, activation, retention, and monetization; take responsibility for the product funnel and commercial outcomes. - Lead cross-functional work with engineering and other partners, keeping the team aligned while requirements and opinions evolve. - Use prototypes, analysis, and direct experimentation to explore product ideas and resolve uncertainty. - Apply AI tools thoughtfully in day-to-day work, with attention to where model output is useful and how to validate it.

Requirements

- Strong product judgment, including experience setting direction, owning a roadmap, shipping outcomes, and leading teams without formal authority. - A consumer or prosumer application you personally helped build and ship that users paid for, including ownership of its funnel and business performance. - Experience taking a product from an initial idea through positioning and launch to adoption by real users. - Demonstrated experience building and shipping AI features in end-user applications, with a clear understanding of model strengths, limitations, and verification. - Technical fluency to discuss model, latency, privacy, and platform tradeoffs with engineers, read code, and build prototypes. - Strong design sense and communication skills, including the ability to create effective interfaces, use research and testing, and explain decisions clearly to executives.

Nice to have

- Experience with native desktop or mobile apps, voice or audio products, real-time systems, or distribution through platform partners. - Experience in a business that serves both self-serve and enterprise customers.

Benefits and work setup

The working environment values frequent experimentation with AI tools, adaptability, and continual learning as priorities and methods change quickly.

Detected Oct 9, 2026
Last verified Nov 12, 2026

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